P036 Missing vital steps: why does my rheumatology team never speak to me about exercise?
Notice bibliographique
Résumé
Abstract Background/Aims UK Rheumatology services are stretched. Rollout of Patient Initiated Follow Up and pressure on job plans/clinic templates mean people with inflammatory arthritis (IA) may spend less time with their rheumatology team. An important but insufficient aspect of care in people with IA is empowering them to acquire good understanding of their disease and building their ability to deal effectively with the practical, physical and psychological impacts of it. Ability to self-manage in IA represents an essential component of care beyond drug therapy, but barriers to implementation of education in self-management exist. Surveys show that rheumatology Healthcare Practitioners (HCPs) don’t know how best to support patients becoming more physically active. Research demonstrates that people with IA have multiple barriers to undertaking regular physical activity (PA) or exercise, including physical limitations, reduced mobility, fatigue, also lack of confidence and not knowing what to do, fear of embarrassment, injury or making symptoms worse, a lack of professional input, advice and resources, inaccessible facilities and financial costs. Methods To address these issues in those living with IA, the National Rheumatoid Arthritis Society (NRAS) collaborated with experts in PA and exercise to create a module on this topic to include in their e-Learning programme, SMILE-RA. The module included: • science behind the research in lay terms • role of physiotherapists (both specialist rheumatology physios and community-based physios) • barriers and facilitators to exercising • goal setting • types of exercise • stories from people with RA inspired by exercise NRAS wanted to provide free resources for people to use who may struggle with exercise due to loss of mobility/function who may lack confidence to exercise. In addition to the online learning, NRAS approached experts in different exercise and PA fields, some of whom had RA themselves, to provide supplemental 15-minute video sessions to run alongside the module. Results The Module launched end of June 2023 with five 15 minute ‘taster’ videos on different forms of exercise appropriately adapted for a broad spectrum of people with IA. These taster sessions can be done safely, seated or standing, and used as ad hoc routines or as regular daily workout, increasing the repetitions as strength and ability increases. Over 3,500 people are registered to SMILE-RA, and, amongst other beneficial results, a survey has shown that 84% of users would recommend SMILE to another person. An HCP, in recommending this resource to colleagues, stated that this exercise module “will revolutionise your consults on exercise in RA.” Conclusion The “PA and Exercise” module can be used to support busy rheumatology professionals by recommending this free resource to their patients and in educating themselves to gain confidence in how to advise patients in this crucial and often overlooked area. Disclosure A.M. Bosworth: None. W.J. Gregory: Honoraria; W.G. has received honoraria for speakers and advisory board roles from Abbive, Novartis, Pfizer and UCB.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,005 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,035 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».